Jonathan P. Musco

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan P. Musco trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yuri Boykov
  2. David G. Lowe

Papers from Jonathan P. Musco's perspective

Ordered by how strongly the researchers Jonathan P. Musco trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Fast approximate energy minimization via graph cuts
  3. Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images
  4. A performance evaluation of local descriptors
  5. SIFT Flow: Dense Correspondence across Different Scenes
  6. Graph Cuts and Efficient N-D Image Segmentation (International Journal of Computer Vision)
  7. Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration (NeuroImage)
  8. Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules. (AJR. American journal of roentgenology)
  9. Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy (NeuroImage)
  10. Active shape model segmentation with optimal features (IEEE Transactions on Medical Imaging)

Their papers